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empero-ai/Qwythos-9B-Claude-Mythos-5-1M to Apple's MLX format, quantized to 4bit.mlx-vlmempero-ai/Qwythos-9B-Claude-Mythos-5-1MQwen/Qwen3.5-9Bchat_template.jinja (the Qwythos self-identification) has been removed, and the user's system prompt is now respected. When no system prompt is provided, a neutral default "You are a helpful AI assistant." is used. The weights are unchanged and identical to the same-quantization base variant.uv add mlx-vlm1from mlx_vlm import load, generate
2from mlx_vlm.prompt_utils import apply_chat_template
3
4model, processor = load("ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit-unlocked")
5messages = [{"role": "user", "content": "Hello"}]
6prompt = apply_chat_template(processor, model.config, messages)
7print(generate(model, processor, prompt, max_tokens=256))